---
_id: '32792'
abstract:
- lang: eng
  text: Decision makers in complex business environments have different goals and
    constraints and therefore require tailored decision support systems (DSS). Following
    a low-code approach, a tailored DSS can be created by a decision maker as a process-based
    composition of existing, interoperable decision support services. Data incompatibilities
    may be introduced during the design or execution of such a process-driven DSS,
    e.g., when a service always generates or a decision maker selects data which violates
    a data constraint of a subsequent service. These incompatibilities cause interrupted
    or erroneous decision processes. In this paper, we contribute an approach which
    enables the detection of data incompatibilities in process-driven DSS during process
    design and execution. Our approach utilizes the JSON Schema specification to define
    service interfaces and associated type constraints which data produced by services
    or decision makers can be validated against. We demonstrate our approach in the
    context of decision support for energy network planning using a prototypical open-source
    implementation.
author:
- first_name: Jonas
  full_name: Kirchhoff, Jonas
  id: '39928'
  last_name: Kirchhoff
- first_name: Sebastian
  full_name: Gottschalk, Sebastian
  id: '47208'
  last_name: Gottschalk
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: 'Kirchhoff J, Gottschalk S, Engels G. Detecting Data Incompatibilities in Process-Driven
    Decision Support Systems. In: <i>Lecture Notes in Business Information Processing</i>.
    Springer International Publishing; 2022. doi:<a href="https://doi.org/10.1007/978-3-031-11510-3_6">10.1007/978-3-031-11510-3_6</a>'
  apa: Kirchhoff, J., Gottschalk, S., &#38; Engels, G. (2022). Detecting Data Incompatibilities
    in Process-Driven Decision Support Systems. In <i>Lecture Notes in Business Information
    Processing</i>. Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-11510-3_6">https://doi.org/10.1007/978-3-031-11510-3_6</a>
  bibtex: '@inbook{Kirchhoff_Gottschalk_Engels_2022, place={Cham}, title={Detecting
    Data Incompatibilities in Process-Driven Decision Support Systems}, DOI={<a href="https://doi.org/10.1007/978-3-031-11510-3_6">10.1007/978-3-031-11510-3_6</a>},
    booktitle={Lecture Notes in Business Information Processing}, publisher={Springer
    International Publishing}, author={Kirchhoff, Jonas and Gottschalk, Sebastian
    and Engels, Gregor}, year={2022} }'
  chicago: 'Kirchhoff, Jonas, Sebastian Gottschalk, and Gregor Engels. “Detecting
    Data Incompatibilities in Process-Driven Decision Support Systems.” In <i>Lecture
    Notes in Business Information Processing</i>. Cham: Springer International Publishing,
    2022. <a href="https://doi.org/10.1007/978-3-031-11510-3_6">https://doi.org/10.1007/978-3-031-11510-3_6</a>.'
  ieee: 'J. Kirchhoff, S. Gottschalk, and G. Engels, “Detecting Data Incompatibilities
    in Process-Driven Decision Support Systems,” in <i>Lecture Notes in Business Information
    Processing</i>, Cham: Springer International Publishing, 2022.'
  mla: Kirchhoff, Jonas, et al. “Detecting Data Incompatibilities in Process-Driven
    Decision Support Systems.” <i>Lecture Notes in Business Information Processing</i>,
    Springer International Publishing, 2022, doi:<a href="https://doi.org/10.1007/978-3-031-11510-3_6">10.1007/978-3-031-11510-3_6</a>.
  short: 'J. Kirchhoff, S. Gottschalk, G. Engels, in: Lecture Notes in Business Information
    Processing, Springer International Publishing, Cham, 2022.'
date_created: 2022-08-10T13:18:30Z
date_updated: 2022-08-10T13:21:34Z
department:
- _id: '534'
- _id: '66'
doi: 10.1007/978-3-031-11510-3_6
language:
- iso: eng
place: Cham
publication: Lecture Notes in Business Information Processing
publication_identifier:
  isbn:
  - '9783031115097'
  - '9783031115103'
  issn:
  - 1865-1348
  - 1865-1356
publication_status: published
publisher: Springer International Publishing
status: public
title: Detecting Data Incompatibilities in Process-Driven Decision Support Systems
type: book_chapter
user_id: '39928'
year: '2022'
...